Sookmyung Statistics
Kim, Yang-Jin

Manuscripts under preparation
Competing risk and multistate model
Bivariate interval censored data
Longitudinal data
Research Interests
dot_blue.gif Survival analysis:Interval Censored Data/Panel Count Data/Current Status Data
dot_blue.gif Longitudinal Data (Informative Censoring, Informative Observation time)
dot_blue.gif Panel data analysis
dot_blue.gif Missing data Problem
dot_blue.gifEnvironmental Statistics

dot_blue.gifSun. J, Kim. Y, Hewett, J., Johnson, J. C., Farmer, J. and Gibler, M. (2001), Evaluation of Traffic Injury Prevention Programs Using Counting Process Approaches. Journal of the American Statistical Association, 96, 469-475.
dot_blue.gifCoudron,T.A., J.L. Wittmeyer andKim.Y. (2002), Life history and cost analysis for continuous rearing of Podisus maculiventris (Say) (Heteroptera: Pentatmidae) on a zoophytophagous artificial diet. Journal of Economic Entomology, 95, 1159-1168
dot_blue.gifCoudron,T.A., andKim.Y. (2002), Life history and cost analysis for continuous rearing ofPeriilus bioculatus (F.) (Heteroptera: Pentatomidae) on a Zoophytogenous Artificial Diet*.Journal of Economic Entomology.97, 807-812
dot_blue.gifSun.J,Kim.Yand Schmitt, Christoper J. (2003), Longitudinal Analysis of Bioaccu-mulative contaminants in Freshwater Fishes. Environmental and Ecological Statistics,10,419-428
dot_blue.gifSun.L, Kim.Y and Sun.J (2004), Regression Analysis of Doubly Censored Failure Time Data from Additive Hazard Model. Biometrics, 60, 637-643.
dot_blue.gifKim.Y. (2006), Regression Analysis of Doubly Censored Data with Frailty, Biometrics, 62, 458-464.
dot_blue.gifKim.Y (2006),Analysis of Panel Count data with Dependent observation time, Communications in Statistics-Simulation and Computation,35, 983-990.
dot_blue.gifKim.Y. (2007),Analysis of Panel Count Data with measurement errors in the covariates,Journal of Statistical Computations and Simulations, 77, 109-117.
dot_blue.gifKim.Y and Jhun.M (2008), Cure rate model with interval censored data. Statistics in Medicine,27, 3-14.
dot_blue.gifKim, Y. and Jhun.M (2008), The analysis of recurrent event data with incomplete observation gaps.Statistics in Medicine, 27, 1075-1085.
dot_blue.gifCho, H. Kim, Y. Jung, H. Lee, S. and Lee, J (2007), OutlierD: An R package for outler detection using quantile regression on mass spectrometry data. Bioinformatics. 24, 882-884.
dot_blue.gifKim, J. Kim, Y-J., and Nam, J. (2009). A Generalized Log-Rank-Type Test for Comparing Survivals with Doubly Interval-Censored Data. Computational statistics and data analysis, 51, 686-696.
dot_blue.gifKang, S., Kim, Y.,Ahn, H. , Joo, Y., C. (2009).Treatment response and duration of maintenance treatment with adjunctive antidepressants in bipolar depression: A retrospective chart review. International Journal of psychiatry in clinical practice,13, 130-137
dot_blue.gifKim, Y-J. (2010), Regression analysis of clustered interval censored data with informative cluster size. Statistics in Medicine.29, 2956-2962
dot_blue.gifKim, Y-J. Cho, H. Kim, J. Jhun, M.  (2010), Median regression with interval censored data. Biometrical Journal. 52, 201-208.
dot_blue.gifKim, Y.-J, Kim, Y-N., Nam, J. and Kim, J. (2011). The analysis of tumorigenicity data using a frailty effect. Journal of Korean Statistical Society.40, 281-290
dot_blue.gifYoo, H., Lee, J., and Kim, Y-J. (2011). Joint Model of Clustered Failure Time data with informative cluster size.Communications in statistics-Computation and Simulation. 40,808-817
dot_blue.gifKim, Y-J., Nam, J., Kim, J. (2012), Nonparametric two-sample test of longitudinal data in the presence of terminal event. Communications in Statistics-Theory and methods. 42,1056-1069
dot_blue.gif Kim, Y-J. (2014), Regression analysis of bivariate current status data using multistate model. Communications in Statistics-Simulation and Computation43, 462-475
dot_blue.gifKim, Y-J. (2014), Regression analysis of recurrent event data with incomplete observation gaps, Journal of Applied Statistics.41, 1616-1626.
dot_blue.gif신슬비, 김양진(2014). 불완전한 관측틈을 가진 재발 사건 소요시간에 대한 자료 분석. Journal of the Korean Data and Information Science Society, 25, 327-336
dot_blue.gifDo, G., KIM, Y., Kim, S.(2015) 경쟁위험분석을 이용한 산재 근로자의 원직장복귀에 대한 연구,Journal of the Korean Data and Information Science Society, 26, 1271-1281
dot_blue.gif김양진 (2016) 경시적 자료에서관측 중단을 모형화하기 위해 사용되는 경쟁 위험의 적용과 결합 모형, Korean Journal of applied statistics. 29, 113-122
dot_blue.gifKim, Y-J. (2016) A modified estimating equation for a binary time varying covariate with an interval censored changing time. Communication Statistics in Application and methods.23(6) 335-341.
dot_blue.gifKim, S. and Kin, Y-J. (2016) Regression analysis of interval censored competing risk data using a pseudo value approach. Communication Statistics in Application and methods. 23, 555-562
dot_blue.gifDo,G. and Kim, Y-J.(2017)Analysis of interval censored competing risk data with missing causes of failure using pseudo values approach, Journal of Statistical Computations and Simulations, 87, 631-639.
dot_blue.gifKim, Y. and Kim, Y-.J.(2017) 다중대체방법을 이용한 구간 중도 경쟁 위험 모형에서의 이표본 검정, Korean journal of applied statistics, 30 233-241.
dot_blue.gifKim, Y-J. (2017) Cure rate model with bivariate interval censored data, Communications in Statistics-Simulation and Computation,46. 7116-7124,
dot_blue.gifKim, Y-J. (2017) Analysis of interval censored failure time data with competing risk, Journal of Applied Statistics, 44, 2778-2790
dot_blue.gifKim, Y-J. (2019) A concordance test for bivariate interval censored data using a leverage bootstrap. Korean journal of applied statistics,32. 753-761.
dot_blue.gifKim, T-U. and Kin, Y-J. (2020) Bivariate recurrent event data with zero inflations. Communication Statistics in Application and methods. 27(1), 1-9.
dot_blue.gifKim Y-J, (2020) Joint model for recurrent event data with a cured fraction and a terminal event. Biometrical Journal.  In press
dot_blue.gifLee, H-E and Kim Y-J, (2020)  Analysis of interval censored competing risk data via nonparametric multiple imputation. Statistics in Biopharmaceutical research.  In press
 dot_blue.gifKim Y-J, (2020)   Joint model for bivariate zero inflated recurrent event data with terminal events. Journal of Applied Statistics.  In press 

  dot_blue.gifKim, Y. Kim, J. Nam, J. and Kim, Y. (2012). Statistical analysis of dependent current status data with application to tumorigenicity experiments. Interval-CensoredTime-to-Event Data: Methods and Applications, Chapman & Hall

  dot_blue.gif김양진 (2013). 생존분석 (자유아카데미)